1. What challenges have you encountered in scaling content operations while maintaining alignment with brand voice, audience relevance, and search visibility?
Back in our agency days and while working on our own content sites, we ran into the same issues over and over. Strategy looked good on paper, but the content that went live often missed the mark. We struggled to align voice, audience intent, and SEO in a way that scaled.
That’s when we started building internal processes to manage everything - from persona clarity to keyword targeting to content structure. But the real shift happened when we introduced topical maps into the mix. Looking back, they should have been the first step. Topical maps now sit at the core of everything we do. They give us visibility, direction, and control before a single word gets written.
2. How do you currently leverage SERP analysis and competitor benchmarking to inform your digital content roadmap?
We rely on live SERPs and AIRS (AI ResultS) from platforms like ChatGPT, Google AI Overviews, and Perplexity. We analyze what’s ranking in the traditional search engine, what’s being cited in AI search engines, and how those overlap or diverge. That includes structure, tone, content type, and gaps in coverage. We look beyond who’s ranking and study how they’re ranking.
This dual-layer insight shapes every roadmap, brief, and internal link strategy we use. These workflows began as internal processes, and we’ve since built them into Floyi.
3. How important is reducing time-to-publish in your content strategy, and what tools or processes have you implemented to accelerate ideation and brief creation?
Reducing time-to-publish is a key priority for us. Especially when managing multiple campaigns or clients, the delays between research and execution used to kill momentum. So we started building tools to automate the bottlenecks. We pulled SERP data, analyzed competitors, integrated brand and persona inputs, and generated structured briefs.
That system cut our research time dramatically and eliminated back-and-forth cycles. We later realized other teams needed it too. That’s how Floyi was born. We turned the internal tools we built to speed up our own workflows into something others could use too.
4. What systems do you have in place to ensure that your content briefs are consistent, actionable, and aligned with both SEO goals and user intent?
Every brief we create includes specific data points: search intent, buyer stage, content type, point of view, tone, internal link prompts, and a list of keywords and entities. These are drawn from real-time SERPs and AIRS, so they’re grounded in both what search engines rank and what AI models surface.
What started as a set of Google Sheets, multiple browser tabs, and repeatable checklists is now a structured system we use every day. It keeps strategy and execution tightly aligned, whether we’re working on a single blog post or a large-scale content hub.
5. What mechanisms are in place to balance data-driven content creation with maintaining creative and editorial integrity?
We give writers structure, not constraints. The data guides what to say and who to say it to, but how it gets said is still up to the creative. Our briefs offer clarity on the audience, tone, key talking points, and gaps to address. But they leave space for originality and voice.
We built these processes to remove friction and second-guessing. The best writing still comes from people. Our system just makes it easier for them to hit the mark.
6. How do you see the role of automation evolving in content marketing, and what governance models are you considering to manage quality and accountability?
Automation is expanding, but we see it as a partner to the strategist and writer, not a replacement. We’ve already built governance into our workflow. Briefs are tied to real search queries and buyer personas. Content is mapped to search intent.
Automation handles the tedious parts, but human review ensures every piece meets our standards. That structure has helped us scale without losing control. As automation gets smarter, our quality controls get even sharper.